AI in Drug Discovery

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What happens when AI begins designing drug candidates faster than they can be experimentally validated?

That moment is already here.

Drug discovery is evolving from traditional experimentation into a faster, computation driven ecosystem powered by AI, simulation, and predictive intelligence.

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AI Powered Discovery Pipelines

Predictive systems and intelligent screening models are helping researchers identify promising therapeutic candidates earlier and faster.

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Precision & Predictive Medicine

AI is enabling more personalized treatment pathways through data driven therapeutic design and clinical intelligence.

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WHY THIS TRACK AT HAI CONCLAVE 2026?

AI is no longer supporting pharmaceutical research from the sidelines. It is becoming part of the discovery process itself.

From molecule generation and predictive biology to clinical optimization and precision therapeutics, intelligent systems are reshaping how modern drug development operates.

According to MarketsandMarkets, the global AI in Drug Discovery market is projected to grow from USD 1.86 Billion in 2024 to USD 6.89 Billion by 2029, reflecting how rapidly AI adoption is accelerating across pharma and biotech ecosystems.

As this transformation continues to redefine therapeutic innovation, HAI Conclave 2026 is bringing together leaders across pharma, biotech, healthcare, AI research, and computational biology to explore what comes next.

  • Learn how AI is accelerating discovery timelines
  • Explore generative AI for molecule development
  • Understand predictive biology and simulation systems
  • Discover AI driven clinical optimization
  • Examine validation and regulatory considerations
  • Connect with pharma, biotech, and AI innovators
WHAT THIS TRACK COVERS?

01

AI Driven Drug Discovery Pipelines

Explore how computational models are accelerating screening, candidate prioritization, and early-stage pharmaceutical research.

02

Generative AI for Molecule Design

Understand how generative systems are creating novel therapeutic compounds and expanding possibilities in modern medicine.

03

Predictive Biology & Clinical Optimization

Learn how predictive systems are improving biological analysis, trial efficiency, and research decision making.

04

Precision & Personalized Medicine

Discover how AI supports targeted therapies, adaptive treatment strategies, and individualized healthcare delivery.

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25+

Industry Partners

300+

Clinicians, Founders, Investors, Corporates, Hospital Leadership

150+

Speakers

100+

Abstract Submissions

25+

Startups

6+

Focus Tracks
SPEAKERS
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Amjad M Basha

Persist.ai

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Malay Kishore Dutta

Amity University

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Dr. Neelima Khairatkar Joshi

Promethean Drug Ideas

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Shivprakash Rathnam PhD

Indian Pharmacology Society

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Subadra Dravida

Transcell Biologics

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Ms. Shobha Vijayaraghavan

Lead - Life Sciences R&D Center of Excellence, Accenture

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Dr. Girish Thunga P

MAHE

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Mr. Lakshmi Prasad Y.

Stealth Startup

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Dr. Priyank Tripathi

Clinical Pharmacologist, HCG Cancer Center

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Dr. Raghunanda Hurulihalli

RC2 Pharma Solutions

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Dr Sandeep AV

Astra Zeneca

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Dr. Sameer Agarwal

Molecular AI

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Dr Sriram AV

Aurobindo Pharma

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Dr. Umesh S

FDA, Govt of Karnataka

ESTEEMED PARTNERS
ASSOCIATION PARTNERS
TECHNOLOGY PARTNERS
FAQ SECTION

AI is accelerating candidate identification, predictive simulations, clinical optimization, and precision medicine development across pharmaceutical ecosystems

Generative AI can design novel molecular structures, predict therapeutic potential, and help researchers identify promising compounds faster.

Yes. The track includes discussions on predictive systems, computational biology, and AI enabled clinical optimization

Pharma leaders, biotech professionals, healthcare innovators, AI researchers, clinicians, and computational biologists.

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